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Merge pull request #57510 from danimir/patch-32
Updating the revert index section
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articles/sql-database/sql-database-automatic-tuning.md

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@@ -65,7 +65,7 @@ Automatic tuning options available in Azure SQL Database are:
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Automatic tuning identifies **CREATE INDEX**, **DROP INDEX**, and **FORCE LAST GOOD PLAN** recommendations that can optimize your database performance and shows them in [Azure portal](sql-database-advisor-portal.md), and exposes them through [T-SQL](https://docs.microsoft.com/sql/t-sql/statements/alter-database-transact-sql-set-options?view=azuresqldb-current) and [REST API](https://docs.microsoft.com/rest/api/sql/serverautomatictuning).
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You can either manually apply tuning recommendations using the portal or you can let Automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that in such case it automatically validates there exists a positive gain to the workload performance, or otherwise if a regression is detected it will automatically revert the tuning recommendation. Please note that in case of queries affected by tuning recommendations that are not executed frequently, the validation phase can take up to 72 hrs by design. In case you are manually applying tuning recommendations, the automatic performance validation, and reversal mechanisms are not available.
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You can either manually apply tuning recommendations using the portal or you can let Automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that it automatically validates there exists a positive gain to the workload performance, and if there is no significant performance improvement detected, it will automatically revert the tuning recommendation. Please note that in case of queries affected by tuning recommendations that are not executed frequently, the validation phase can take up to 72 hrs by design. In case you are manually applying tuning recommendations, the automatic performance validation, and reversal mechanisms are not available.
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Automatic tuning options can be independently enabled or disabled per database, or they can be configured on logical servers and applied on every database that inherits settings from the server. Logical servers can inherit Azure defaults for Automatic tuning settings. Azure defaults at this time are set to FORCE_LAST_GOOD_PLAN is enabled, CREATE_INDEX is enabled, and DROP_INDEX is disabled.
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